Multi-agent and Complex Systems

  • Quan Bai
  • Fenghui Ren
  • Katsuhide Fujita
  • Minjie Zhang
  • Takayuki Ito
Conference proceedings

Part of the Studies in Computational Intelligence book series (SCI, volume 670)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Smart Simulation and Modelling

    1. Front Matter
      Pages 1-1
    2. Yunevda E. L. Rojas, Diana F. Adamatti, Gracaliz P. Dimuro
      Pages 49-65
    3. Michael Crosscombe, Jonathan Lawry
      Pages 67-78
    4. Oscar Veliz, Christopher Kiekintveld
      Pages 79-93
    5. Takanobu Otsuka, Yoshitaka Torii, Takayuki Ito
      Pages 109-121
  3. Intelligent Agents and Their Applications

    1. Front Matter
      Pages 123-123
    2. Shih-Min Wu, Tenda Okimoto, Katsutoshi Hirayama, Katsumi Inoue
      Pages 139-152
    3. Chang Jiang, Weihua Li, Quan Bai, Minjie Zhang
      Pages 153-164
    4. Chao Yu, Zhen Wang, Hongtao Lv, Honglin Bao, Yapeng Li
      Pages 193-210

About these proceedings


This book provides a description of advanced multi-agent and artificial intelligence technologies for the modeling and simulation of complex systems, as well as an overview of the latest scientific efforts in this field. A complex system features a large number of interacting components, whose aggregate activities are nonlinear and self-organized. A multi-agent system is a group or society of agents which interact with others cooperatively and/or competitively in order to reach their individual or common goals. Multi-agent systems are suitable for modeling and simulation of complex systems, which is difficult to accomplish using traditional computational approaches.


Agent-based simulation Complex systems Agent-based modeling Smart technologies for simulation and modeling Large-scale systems Multi-agent systems

Editors and affiliations

  • Quan Bai
    • 1
  • Fenghui Ren
    • 2
  • Katsuhide Fujita
    • 3
  • Minjie Zhang
    • 4
  • Takayuki Ito
    • 5
  1. 1.Auckland University of TechnologyAucklandNew Zealand
  2. 2.University of WollongongWollongongAustralia
  3. 3.Tokyo University of Agriculture and TechnologyKoganeiJapan
  4. 4.University of WollongongWollongongAustralia
  5. 5.Nagoya Institute of TechnologyNagoyaJapan

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media Singapore 2017
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-981-10-2563-1
  • Online ISBN 978-981-10-2564-8
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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